Some chatter in Q&A’s in last few daily briefs with Premier/health officials re: rising cases in Windsor & potential for moving region to lockdown (just moved to “Red” zone on Mon, Nov 30).
Concern is hospital “overrun”… local hospital trends shown here…
2/
Case picture: yes, cases are rising, but overwhelming majority are traced to close contact or outbreak. Averaging only ~8 reported community cases of unknown origin per day.
3/
Overall new emergency admissions for three main Windsor-Essex hospitals appear to be:
*FLAT* for the entire month of November.
(Entire Erie-St.Clair area including Chatham/Sarnia also flat).
4/
Overall hospital admissions for respiratory illness and infections (excluding COVID19 admissions) in all of Erie-St. Clair appear to be:
*Trending down, and a full standard deviation *LOWER* vs. historical seasons*
5/
Overall hospital admissions for respiratory illness and infections (*including* COVID19 admissions) in all of Erie-St. Clair:
*Trending flat/down, and still *LOWER* vs. historical seasons*
6/
Even accounting for reporting delays, and for delays from symptom onset to, unfortunately, hospitalization, cases in Windsor have been rising since ~Oct 15, without a commensurate increase in overall emergent admissions, according to the above presented data.
7/ *IF* (and it’s still only an *IF*) Windsor, Ontario is thrown into lockdown, the people & businesses of that community would a deserve an explanation for such a measure, especially heading into Christmas season, in light of what appears to be normal/below normal hosp activity.
In this thread, I’ll show the absurdity of a citywide shutdown, simply using by-neighbourhood case/positivity data, w/ census data integration.
Unmeasurable, unnecessary collateral harm is coming; please read/share.
(get a cup of coffee)
2/ Note: if you are not in Toronto/Canada, you will still find this #SARSCoV2 prevalence analysis and its conclusions compelling, as these same dynamics likely exist in many of the world’s major cities.
3/ Quick note: this analysis follows and adds substantially to a previous related thread, found here (tweets 4a/b sites the data sources/limitations, which are the same as used in this current thread). All %pos/cases data is cumulative since Aug 30.
…focusing in on the correlations between (i) Toronto neighbourhood workforce/demographic concentrations & (ii) #SARSCov2 prevalence (cases/100k) identified in yesterday's thread.
Only a few sips of coffee/tea needed
(but this is no less striking)
2/ These data and observations *MUST* inform public policy on #SARSCov2/#COVI19, in my view.
3/ In my thread from yesterday, we examined % test positivity and cases/100k by neighbourhood in Toronto (for its 140 hoods) and then compared them to neighb'hood socioeconomic/demographic concentrations from census data to find (or not find) correlations.
A comprehensive, neighborhood-by-neighborhood review of #SARSCov2 prevalence/trends in the City of Toronto.
% positivity & cases, with weekly trends since Aug, AND:
*cross referenced with neighborhood census data*
The findings are incredible.
2/ Note: even if you are not in Toronto/Canada, I think you will find this data/analysis compelling, and universally applicable re #SARSCov2/#COVID19 learning and public policy implications.
Toronto’s diversity (>51% visible minority) makes it an interesting case study.
3a/ In this thread, I show/illustrate:
1. for Toronto’s 140 neighbourhoods (and groups of hoods, e.g. DT Core, Northwest), which have increasing/decreasing % pos & cases per 100k.
(Some peaked long before the Oct 10th restrictions. Others still increasing despite restrictions.)
1/ Other Coronaviruses vs. #SARSCov2 in 🇨🇦 (continued)
Original thread below. Most striking observation was low circulation of Other Coronaviruses prior to #SARSCov2 “official” arrival in Feb/Mar 2020 in parts of Canada.
Now showing prior 6 Coronavirus Seasons ('14-'20) vs. #SARSCov2
Coronavirus seasons occur like clockwork. Similar endemic peaks (~8%pos) / time frames.
%pos for #SARSCov2 in current ‘wave’ occurring much earlier vs. all prior years. PCR excess?
(see chart notes)
3/ Ontario
Similar trends. Note the seasonal decline in first “wave” of #SARSCov2 vs. timing of decline of every other Coronavirus season. Do lockdowns/restrictions really make a difference? Were we already heading down the curve when we locked down?